Triple
T11527157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthropologie |
E273324
|
entity |
| Predicate | hasSisterBrand |
P10460
|
FINISHED |
| Object |
Terrain
Terrain is a lifestyle and home-and-garden retail brand known for its curated selection of plants, outdoor living products, and nature-inspired decor.
|
E929491
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Terrain | Statement: [Anthropologie, hasSisterBrand, Terrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrain Context triple: [Anthropologie, hasSisterBrand, Terrain]
-
A.
Overworld
The Overworld is the primary, earth-like dimension in Minecraft where players begin their adventures, featuring diverse biomes, resources, and mobs.
-
B.
Landscape
"Landscape" is a one-act play by Harold Pinter that explores memory, silence, and fractured relationships through minimalist dialogue and ambiguous narrative.
-
C.
Landscape
Landscape is Canonical Ltd.'s systems management and monitoring tool designed for administering and scaling Ubuntu deployments across servers and clouds.
-
D.
Boden
Boden is a northern Swedish town known for its strategic military significance and large army garrison.
-
E.
Campo
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Terrain Triple: [Anthropologie, hasSisterBrand, Terrain]
Generated description
Terrain is a lifestyle and home-and-garden retail brand known for its curated selection of plants, outdoor living products, and nature-inspired decor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terrain Target entity description: Terrain is a lifestyle and home-and-garden retail brand known for its curated selection of plants, outdoor living products, and nature-inspired decor.
-
A.
Overworld
The Overworld is the primary, earth-like dimension in Minecraft where players begin their adventures, featuring diverse biomes, resources, and mobs.
-
B.
Landscape
"Landscape" is a one-act play by Harold Pinter that explores memory, silence, and fractured relationships through minimalist dialogue and ambiguous narrative.
-
C.
Landscape
Landscape is Canonical Ltd.'s systems management and monitoring tool designed for administering and scaling Ubuntu deployments across servers and clouds.
-
D.
Boden
Boden is a northern Swedish town known for its strategic military significance and large army garrison.
-
E.
Campo
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd379648190b342e0c4b4f685b7 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6256e3130819095a93c8d1891b078 |
completed | April 20, 2026, 1:09 p.m. |
| NEDg | Description generation | batch_69e62cf664888190869d0d10c39d5e4a |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e66327b000819083f36c3beb969849 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 8, 2026, 9:37 p.m.